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Install Disco Diffusion v5 for Windows

NOTE: Pytorch3d no longer has to be compiled i have stripped out the function we use to make this a lot easier and also so we do not have to use WSL2 with linux and can now run directly on your windows system.

Comments section is not checked often for issues please join the disco diffusion discord for assistance

https://discord.gg/mK4AneuycS

You may now use the official disco diffusion notebook with this tutorial as it has been uodated to reflect the changes here for better cross platform support

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import numpy as np
from scipy import interpolate

#Create target array. We are trying to match the size of this array
my_cqt = np.linspace(2.0,3.0, num=20)

#The array to be stretched
my_alfa = np.linspace(0., 1., num=10)

f = interpolate.interp1d(np.arange(0, len(my_alfa)), my_alfa)

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#!/bin/bash

#install hfsprogs if you don't have it
sudo apt-get install hfsprogs
#check the status of the drive
sudo fsck.hfsplus -f /dev/sdb2
#Mount the drive
sudo umount /media/tatar/MetaMusical
sudo mount -t hfsplus -o force,rw /dev/sdb2 /media/tatar/MetaMusical
sudo mount -t hfsplus -o remount,force,rw /dev/sdb2 /media/tatar/MetaMusical

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import tensorflow as tf

# Create some tensors
a = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
b = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]])
c = tf.matmul(a, b)
print(c)

text_file = open("Output.txt", "w")
text_file.write("Hello World, my num is %s" % c)

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This guide works with tensorflow-gpu=2.0.0 and CUDA 10.0.130 and CuDNN 7.6.4

1. Install anaconda for python 3

2. Install CUDA 10.0 for Windows 64bit using network

3. Use Anaconda Command prompt

4. Create a python3 environment on Anaconda and activate the environment

5. Install tensorflow-gpu using conda install tensorflow-gpu

6. Test if tensorflow is running

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Copied from: https://github.com/conda/conda/blob/master/docs/source/user-guide/tasks/manage-environments.rst

Managing environments

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